Remote Lead MLOps Engineer for Enterprise AI Platforms

Kelly Services; Cambridge (MA); Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Unlimited PTO

401(k)

Life Insurance

Short-Term Disability

Long-Term Disability

Job summary

Motion Recruitment Partners is seeking a senior Lead MLOps Engineer to join a remote-first team operating in the Eastern Time Zone. You will architect and run scalable ML platforms that move models from development to production, balancing reliability, security, and governance across AI services.

You will own deployment frameworks, observability, and cost management while mentoring engineers and shaping engineering standards. This role is fully remote for ETZ-aligned candidates.

Qualifications

• 10+ years of experience in software engineering, infrastructure engineering, or platform development.
• Proven experience leading MLOps initiatives in enterprise production environments.
• Strong background designing highly scalable distributed applications and services.
• Expertise deploying, managing, and optimizing machine learning models in production.
• Experience supporting Generative AI and Large Language Model (LLM) applications.
• Deep understanding of CI/CD pipelines for AI and machine learning workloads.
• Hands-on experience with model registries, versioning strategies, and deployment automation.
• Advanced proficiency developing production software with Python and TypeScript.
• Strong experience designing and consuming RESTful APIs.
• Expertise building solutions within AWS cloud environments.
• Experience working with Docker and container orchestration technologies.
• Knowledge of Infrastructure as Code methodologies including AWS CDK and CloudFormation.
• Experience implementing monitoring, logging, alerting, and reliability practices.
• Understanding of security best practices for cloud-native and multi-tenant platforms.
• Ability to lead technical discussions, mentor engineers, and drive engineering standards.

Responsibilities

• Own the operational strategy for machine learning infrastructure and deployment platforms.
• Build frameworks that accelerate the delivery of AI solutions from experimentation to production.
• Create repeatable deployment processes that improve reliability and reduce operational risk.
• Develop platform capabilities that support model serving, monitoring, and governance.
• Implement automation that simplifies infrastructure provisioning and software releases.
• Establish observability practices across AI services, APIs, and backend systems.
• Partner with machine learning engineers to improve model performance and operational readiness.
• Drive platform scalability initiatives that support growing customer demand.
• Define best practices for security, resiliency, and cost management.
• Troubleshoot complex production issues and lead technical resolution efforts.
• Collaborate with cross-functional teams on architecture, planning, and platform strategy.
• Mentor engineering teams on MLOps methodologies and modern cloud engineering practices.

Skills

ML Ops Leadership

Distributed Systems

AI CI/CD

Python

TypeScript

AWS Cloud

Docker

Kubernetes

REST APIs

Model Registry

Security Best Practices

Tools

AWS CDK

CloudFormation

Job description

Motion Recruitment Partners is seeking a senior Lead MLOps Engineer to join a remote-first team operating in the Eastern Time Zone. You will architect and run scalable ML platforms that move models from development to production, balancing reliability, security, and governance across AI services.

You will own deployment frameworks, observability, and cost management while mentoring engineers and shaping engineering standards. This role is fully remote for ETZ-aligned candidates.